Background parenchymal enhancement in ultrafast MRI: Inter-reader agreement before and after training, and correlations with prognostic factors of breast cancer
Purpose To assess the inter-reader agreement in background parenchymal enhancement (BPE) categorization on ultrafast dynamic contrast-enhanced (DCE) MRI before and after training and its relationship with breast cancer prognostic factors. Materials and methods We retrospectively analyzed the cases of 220 patients (median, age 60 years; 220 breast cancers) who underwent ultrafast DCE MRI. BPE was qualitatively classified as minimal, mild, moderate, or marked by three readers: Reader1 (R1), a radiology resident in the second year of training; Reader2 (R2), an experienced general radiologist with 28 years of experience in diagnostic radiology; and Reader3 (R3), an experienced breast radiologist with 25 years of experience in breast MRI. Inter-reader agreement was evaluated using weighted kappa (κ) values and was reassessed between R1 and R3 after intensive training. Associations between BPE levels and prognostic factors were also evaluated. Results Inter-reader agreement was substantial with weighted κ values of 0.679–0.742 for R1 versus R2, 0.612–0.665 for R1 versus R3, and 0.626–0.689 for R2 versus R3. Agreement between R1 and R3 improved slightly after training but remained substantial. No significant associations were observed between visual BPE classification and prognostic factors, including hormone receptor status, HER2 status, and proliferation markers. Conclusion Inter-reader agreement for BPE assessment on ultrafast DCE MRI was substantial and improved slightly after training. No significant relationship was observed between ultrafast BPE and breast cancer prognostic factors.
Authors
- Takahiko Nakazono (ORCID: https://orcid.org/0000-0001-7456-4835)
- Osamu Togao (ORCID: https://orcid.org/0000-0002-5910-7852)
- Ryoko Egashira (ORCID: https://orcid.org/0000-0001-7566-546X)
- Dominik M. Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Mizuki Iyadomi (ORCID: https://orcid.org/0009-0002-2000-7157)
- Katsuya Maruyama (ORCID: https://orcid.org/0000-0003-0662-5987)
- 健 山口
- Takeshi Imaizumi
- Kanto Ichinohe
Institutions
- Kurume University (JP)
- Siemens (Germany) (DE)
- Saga University (JP)
- Saga-Ken Medical Centre Koseikan (JP)
- Siemens Healthineers (Germany) (DE)
- Siemens Healthcare K.K. (Japan) (JP)
- University College London (GB)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2026-10-14
- DOI
- https://doi.org/10.1016/j.ejro.2026.100820
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science